stablelm-zephyr-3b-GGUF
Maintainer: TheBloke
92
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The stablelm-zephyr-3b-GGUF model is a 3 billion parameter language model created by Stability AI and quantized by TheBloke using GGUF format. It is part of the StableLM Zephyr series of models, which are fine-tuned versions of the original Mistral-7B-v0.1 model. Similar models include zephyr-7b-alpha-GGUF and CausalLM-14B-GGUF.
Model inputs and outputs
Inputs
- Text data, which the model uses to generate continuations and complete tasks.
Outputs
- Text data, which can include responses, completions, and generated content.
Capabilities
The stablelm-zephyr-3b-GGUF model can be used for a variety of natural language processing tasks, such as text generation, language understanding, and question answering. It has been fine-tuned on a mix of publicly available datasets and is capable of engaging in open-ended conversation and providing informative responses on a wide range of topics.
What can I use it for?
The stablelm-zephyr-3b-GGUF model can be used in a variety of applications, such as chatbots, content generation tools, and language understanding systems. It could be particularly useful for companies looking to develop AI-powered assistants or generate written content at scale. The model's performance on tasks like MT Bench and AGIEval suggests it may be a strong starting point for further fine-tuning and development.
Things to try
One interesting aspect of the stablelm-zephyr-3b-GGUF model is its support for extended sequence lengths of up to 32K tokens. This could enable the model to tackle more complex, longer-form tasks that require maintaining context over longer stretches of text. Experimenting with these extended sequence capabilities could lead to novel applications or insights about the model's strengths and limitations.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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